Performance metrics.  
We evaluate our models based on the Fréchet Inception Distance  [1]} (FID) between the generated images and the evaluation set. The FID measures the distribution similarity between the two sets, and serves as a metric for the diversity and quality of the generated images, as well as how well the images match the sketches. For a fair comparison, we evaluate each model by selecting the iteration with the best FID.
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